Engineering AI Jobs
Backend, full-stack, frontend, mobile. The roles that build the product around the model.
Every role on this page is from a company we recognise as building AI as a primary product. No bolt-on AI roles, no third-party scrapers, no padding.
Live roles
Technical Program Manager (TPM), Infrastructure
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Production Manager
ElevenLabs
Production Manager
ElevenLabs
Data Center Energy Lead, Australia
Anthropic
Software Engineer, Ads Product
xAI
Lead, Operations & Maintenance (O&M)
xAI
Controls Technician
xAI
Applied Scientist / Domain Expert, AI4Engineering - EMEA
Mistral AI
Developer Education Lead
OpenAI
AI Deployment Manager, Core
OpenAI
Partner Manager, Cloud Service Provider Partnerships
OpenAI
Physical Security Systems Engineer - APAC
OpenAI
Physical Security Systems Engineer
OpenAI
Partner AI Deployment Engineer - AWS
OpenAI
Senior Technical Advisor, National Security Policy, Global Affairs
OpenAI
National Security Lead, State and Local Government, Global Affairs
OpenAI
Physical Security Systems Engineer
OpenAI
Member of Technical Staff - Imagine Safety
xAI
Data Scientist, GTM
Anthropic
Data Scientist, Marketing
Anthropic
Technical Sourcer
Replit
Finance Systems Engineer
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Regional Vice President (RVP) of Solution Architecture
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GTM Chief of Staff
ElevenLabs
GTM Chief of Staff
ElevenLabs
Data/Infrastructure Advocate Engineer
Hugging Face
Member of Staff, AI & Rule of Law
Anthropic
Cloud ML DevRel Engineer
Hugging Face
Cloud ML DevRel Engineer
Hugging Face
Implementation Specialist
Anthropic
New to AI work? Start with these.
Six pieces of orientation. Most AI-company job specs assume you've done this kind of hands-on work already. If you haven't, an afternoon with one of these is the cheapest way to close the gap.
Claude Desktop, from zero.
The agentic-AI assistant most of the people you'd be working alongside use every day. Install, configure, first useful prompts.
What MCPs areThe best MCPs for Claude Desktop.
MCP servers extend an AI assistant with tools and data. The catalogue most teams use. Useful technical context for any AI-engineering role.
Code with AIClaude Code, the complete beginners' guide.
The CLI for AI-paired development. Required reading if you're applying for any engineering role that mentions agents, or any role full stop.
Run a local modelHow to set up LM Studio.
Running a model on your own machine teaches you more about how AI products work in three hours than a year of using ChatGPT will.
The hardware realityBeginner's guide to AI hardware.
What the infrastructure under the model actually looks like. Useful context for infrastructure, applied-AI and hardware roles.
Browse the stackMCP catalogue.
Eleven MCP servers Houtini maintains or recommends. Each detail page describes a real piece of working AI infrastructure.